FPGA-Based Acceleration of K-Nearest Neighbor Algorithm on Fully Homomorphic Encrypted Data

FPGA-Based Acceleration of K-Nearest Neighbor Algorithm on Fully Homomorphic Encrypted Data

The suggested solution in this work makes use of the parallel processing capability of FPGA to enhance the efficiency of the K-Nearest Neighbor (KNN) algorithm on encrypted data. The suggested technique was assessed utilizing the breast cancer datasets and the findings indicate that the FPGA-based a...

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Bibliographic Details
Main Authors: Sagarika Behera, Jhansi Rani Prathuri
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Cryptography
Subjects:
field-programmable gate array (FPGA)
K-Nearest Neighbor (KNN) algorithm
Cheon–Kim–Kim–Song (CKKS) encryption scheme
fully homomorphic encryption (FHE) scheme
cloud computing
Online Access:https://www.mdpi.com/2410-387X/8/1/8

Internet

https://www.mdpi.com/2410-387X/8/1/8

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